Prediction of Learning Success Via Rate of Events in Social Networks for Education

M. E. Sousa-Vieira; J. C. López-Ardao; M. Fernández-Veiga; O. Ferreira-Pires; M. Rodríguez-Pérez

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Paper

Prediction of Learning Success Via Rate of Events in Social Networks for Education

Topics: Computer-Supported Collaborative Learning; Educational Data Mining; e-Learning in Engineering Education; e-Learning Platforms, Portals; Learning Analytics

In Proceedings of the 10th International Conference on Computer Supported Education - Volume 2: CSEDU, 374-382, 2018 , Funchal, Madeira, Portugal

Authors: M. E. Sousa-Vieira ; J. C. López-Ardao ; M. Fernández-Veiga ; O. Ferreira-Pires and M. Rodríguez-Pérez

Affiliation: University of Vigo, Spain

Keyword(s): Online Social Networks, Collaborative Learning, Learning Analytics, Success/Failure Prediction.

Related Ontology Subjects/Areas/Topics: Computer-Supported Education ; e-Learning ; e-Learning in Engineering Education ; e-Learning Platforms ; Information Technologies Supporting Learning ; Learning Analytics ; Simulation and Modeling ; Simulation Tools and Platforms

Abstract: The widespread use of computing and communications technologies has enabled the popularity of social networks oriented to learn. Earlier studies have shown the power of online learning systems data to develop prediction methods that try to identify successful students patterns of accomplishment and engagement to allow timely pedagogical interventions. Our learning platform, SocialWire, collects a detailed record of the students’ activity so, in this paper, we compare and combine the power of different statistical learning techniques, using some of the features recorded as predictors of learning success or failure.

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Paper citation in several formats:

Sousa-Vieira, M.; López-Ardao, J.; Fernández-Veiga, M.; Ferreira-Pires, O. and Rodríguez-Pérez, M. (2018). Prediction of Learning Success Via Rate of Events in Social Networks for Education. In Proceedings of the 10th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-291-2; ISSN 2184-5026, SciTePress, pages 374-382. DOI: 10.5220/0006780703740382

@conference{csedu18,
author={M. E. Sousa{-}Vieira. and J. C. López{-}Ardao. and M. Fernández{-}Veiga. and O. Ferreira{-}Pires. and M. Rodríguez{-}Pérez.},
title={Prediction of Learning Success Via Rate of Events in Social Networks for Education},
booktitle={Proceedings of the 10th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2018},
pages={374-382},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006780703740382},
isbn={978-989-758-291-2},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - Prediction of Learning Success Via Rate of Events in Social Networks for Education
SN - 978-989-758-291-2
IS - 2184-5026
AU - Sousa-Vieira, M.
AU - López-Ardao, J.
AU - Fernández-Veiga, M.
AU - Ferreira-Pires, O.
AU - Rodríguez-Pérez, M.
PY - 2018
SP - 374
EP - 382
DO - 10.5220/0006780703740382
PB - SciTePress